IDEAS home Printed from https://ideas.repec.org/a/wly/empleg/v21y2024i3p482-531.html
   My bibliography  Save this article

The influence of the race of defendant and the race of victim on capital charging and sentencing in California

Author

Listed:
  • Catherine M. Grosso
  • Jeffrey Fagan
  • Michael Laurence

Abstract

The California Racial Justice Act of 2020 recognized racial and ethnic discrimination as a basis for relief in capital cases, expressly permitting several types of statistical evidence to be introduced. This statewide study of the influence of race and ethnicity on the application of capital punishment contributes to this evidence. We draw on data from over 27,000 murder and manslaughter convictions in California state courts between 1978 and 2002. Using multiple methods, we found significant racial and ethnic disparities in charging and sentencing decisions. Controlling for defendant culpability and specific statutory aggravators, we show that Black and Latinx defendants and all defendants convicted of killing at least one white victim are substantially more likely to be sentenced to death. We further examined the role that race and ethnicity have in decision‐making at various points in the criminal justice system. We found that prosecutors were significantly more likely to seek death against defendants who kill white victims, and that juries were significantly more likely to sentence those defendants to death. The magnitude of the race of the defendant and race of the victim effects is substantially higher than in prior studies in other states and in single‐jurisdiction research. The results show an entrenched pattern of racial disparities in charging and sentencing that privileges white victim cases, as well as patterns of racial disparities in who is charged and sentenced to death in California courts that are the natural result of California's capacious statutory definition of death eligibility, which permits virtually unlimited discretion for charging and sentencing decisions. This pattern of racial preferences illustrates the social costs of California's failure to follow the Supreme Court's directive in Furman v Georgia to narrow the application of capital punishment over 50 years ago.

Suggested Citation

  • Catherine M. Grosso & Jeffrey Fagan & Michael Laurence, 2024. "The influence of the race of defendant and the race of victim on capital charging and sentencing in California," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 21(3), pages 482-531, September.
  • Handle: RePEc:wly:empleg:v:21:y:2024:i:3:p:482-531
    DOI: 10.1111/jels.12390
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jels.12390
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jels.12390?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Shamena Anwar & Patrick Bayer & Randi Hjalmarsson, 2022. "Unequal Jury Representation and Its Consequences," American Economic Review: Insights, American Economic Association, vol. 4(2), pages 159-174, June.
    2. Heejung Bang & James M. Robins, 2005. "Doubly Robust Estimation in Missing Data and Causal Inference Models," Biometrics, The International Biometric Society, vol. 61(4), pages 962-973, December.
    3. Johann Gaebler & William Cai & Guillaume Basse & Ravi Shroff & Sharad Goel & Jennifer Hill, 2022. "A Causal Framework for Observational Studies of Discrimination," Statistics and Public Policy, Taylor & Francis Journals, vol. 9(1), pages 26-48, December.
    4. David C. Baldus & George Woodworth & Catherine M. Grosso & Michael Laurence & Jeffrey A. Fagan & Richard Newell, 2019. "Furman at 45: Constitutional Challenges from California's Failure to (Again) Narrow Death Eligibility," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 16(4), pages 693-730, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    2. Ruoxuan Xiong & Allison Koenecke & Michael Powell & Zhu Shen & Joshua T. Vogelstein & Susan Athey, 2021. "Federated Causal Inference in Heterogeneous Observational Data," Papers 2107.11732, arXiv.org, revised Apr 2023.
    3. Jelena Bradic & Weijie Ji & Yuqian Zhang, 2021. "High-dimensional Inference for Dynamic Treatment Effects," Papers 2110.04924, arXiv.org, revised May 2023.
    4. Görg Holger & Marchal Léa, 2019. "Die Effekte deutscher Direktinvestitionen im Empfängerland vor dem Hintergrund des Leistungsbilanzüberschusses: Empirische Evidenz mit Mikrodaten für Frankreich," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 20(1), pages 53-69, June.
    5. Tran Linh & Petersen Maya & Schwab Joshua & van der Laan Mark J., 2023. "Robust variance estimation and inference for causal effect estimation," Journal of Causal Inference, De Gruyter, vol. 11(1), pages 1-27, January.
    6. Léa Marchal & Clément Nedoncelle, 2019. "Immigrants, occupations and firm export performance," Review of International Economics, Wiley Blackwell, vol. 27(5), pages 1480-1509, November.
    7. Hisaki Kono & Yasuyuki Sawada & Abu S. Shonchoy, 2016. "DVD-based Distance-learning Program for University Entrance Exams: Experimental Evidence from Rural Bangladesh," CIRJE F-Series CIRJE-F-1027, CIRJE, Faculty of Economics, University of Tokyo.
    8. Masahiro Kato & Masaaki Imaizumi & Takuya Ishihara & Toru Kitagawa, 2023. "Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds," Papers 2302.02988, arXiv.org, revised Jul 2023.
    9. Takahiro Hoshino & Yuya Shimizu, 2019. "Doubly Robust-type Estimation of Population Moments and Parameters in Biased Sampling," Keio-IES Discussion Paper Series 2019-006, Institute for Economics Studies, Keio University.
    10. Uysal, S. Derya, 2013. "Doubly Robust Estimation of Causal Effects with Multivalued Treatments," Economics Series 297, Institute for Advanced Studies.
    11. Paul Frédéric Blanche & Anders Holt & Thomas Scheike, 2023. "On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 29(2), pages 441-482, April.
    12. Ignaciuk, Ada & Malevolti, Giulia & Scognamillo, Antonio & Sitko, Nicholas J., 2022. "Can food aid relax farmers’ constraints to adopting climate-adaptive agricultural practices? Evidence from Ethiopia, Malawi and the United Republic of Tanzania," ESA Working Papers 324073, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    13. Everding, Jakob & Marcus, Jan, 2020. "The effect of unemployment on the smoking behavior of couples," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 29(2), pages 154-170.
    14. Li Liang & Greene Tom, 2013. "A Weighting Analogue to Pair Matching in Propensity Score Analysis," The International Journal of Biostatistics, De Gruyter, vol. 9(2), pages 215-234, July.
    15. Frank Fossen & Martin Simmler, 2016. "Personal taxation of capital income and the financial leverage of firms," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 23(1), pages 48-81, February.
    16. repec:ags:unassr:234387 is not listed on IDEAS
    17. Yiyi Huo & Yingying Fan & Fang Han, 2023. "On the adaptation of causal forests to manifold data," Papers 2311.16486, arXiv.org, revised Dec 2023.
    18. Brian J. Reich & Shu Yang & Yawen Guan & Andrew B. Giffin & Matthew J. Miller & Ana Rappold, 2021. "A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications," International Statistical Review, International Statistical Institute, vol. 89(3), pages 605-634, December.
    19. Satoshi Hattori & Masayuki Henmi, 2014. "Stratified doubly robust estimators for the average causal effect," Biometrics, The International Biometric Society, vol. 70(2), pages 270-277, June.
    20. Stephanie A Kovalchik, 2020. "‘In search of lost time’: Identifying the causative role of cumulative competition load and competition time-loss in professional tennis using a structural nested mean model," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-18, April.
    21. Konan Alain N'Ghauran & Corinne Autant-Bernard, 2020. "Assessing the collaboration and network additionality of innovation policies: a counterfactual approach to the French cluster policy," Post-Print halshs-03128972, HAL.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:empleg:v:21:y:2024:i:3:p:482-531. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1740-1461 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.